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Build and deploy ML systems for search, chatbots, and LLM-powered features that power a large real-estate platform across Latin America.
Build and deploy ML systems for search, chatbots, and pricing using Python and deep learning; experiment with LLMs and generative AI to enhance real-estate platforms.
Build and deploy AI models on GCP/Vertex AI to improve payment success and prevent fraud for a global direct-debit and open-banking provider.
Manage a team of Data Scientists building AI-powered fraud prevention and payment optimization models on GCP/Vertex AI using Python, SQL, and BigQuery to process over $130B in payments annually.
Build and maintain predictive models using Python, R, SQL, and Spark to turn Aviva’s insurance data into actionable insights for data-driven business decisions.
Lead a data-science team building models and metrics to analyze consumer behavior, using time-series, NLP, and LLMs to forecast trends and detect anomalies.
Analyze large, complex datasets to extract insights and support mission-critical decisions using statistical modeling, programming, and clear communication for a government client.
Build and deploy ML models to assess credit risk, detect fraud, and optimize collections for a BNPL fintech service.
Data Scientist at Deloitte Strategy & Transactions, analyzing client data to support valuation, cost optimization, and government operations modernization with security clearance.
Team lead for AI/ML projects: organizes DS/ML teams, sets LLM pipelines (RAG, fine-tuning), translates business needs into technical tasks, and ensures model quality and deployment in production.
Junior Data Scientist at Blackwoods to transform industrial B2B data into insights that drive customer experience decisions using analytics and modeling.
Data scientist building predictive models, optimization systems, and recommendation engines for large EAEU firms, using Python, SQL, and modern AI tools.
Build and deploy ML models to detect fraud and analyze risk patterns in crypto trading, using graph analytics and unsupervised learning to uncover sophisticated threats.
Build and deploy ML models to detect fraud and analyze risk in crypto trading, using graph analytics and unsupervised techniques while collaborating with engineering and product teams.
Lead end-to-end AI solution development on BNY’s ELIZA platform, guiding teams through experimentation, deployment, and business impact while making technical and architectural decisions.
Build AI agents and automation tools to clean, analyze, and process energy-metering data for large apartment buildings, ensuring projects reach billing readiness under German energy-market rules.
Build and improve Avito’s in-house large language models by designing experiments, training pipelines, and optimizing inference for production use.
Associate AI Engineer Education Bachelor’s in Computer Science, Data Science, Statistics, Mathematics, or a related field Strong academic foundation in statistics, probability, and LLM and Agentic AI and AWS Bedrock…
Build and evaluate machine-learning models and analytics solutions to uncover insights and support business decisions.
Builds AI-driven analytics to measure podcast and video performance, uncovering trends and insights to guide creator-driven experiences at Spotify.
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